Kun Jin

2.7k citations
75 papers · 2.2k · 1 hit paper · h-index 21

Impact in

Papers in

Kun Jin

75 papers receiving 2.2k citations

Kun Jin's Hit Papers

Blarcamesine for the treatment of Early Alzheimer's Disease: Results from the ANAVEX2-73-AD-004 Phase IIB/III trial 2025 · 32 citations
320Years since publication102030

Peers

Kun Jin
Comparison fields: 5 of 69
  • Neurology 296
  • Developmental Neuroscience 48
  • Ophthalmology 61
  • Molecular Biology 318
  • Neurology 33
Replace DeRen Huang with:
DeRen Huang United States
Pasqualina Colella France
Denise C. Fitzgerald United Kingdom
Veerle A Somers Belgium
Imke Metz Germany
Vivienne P. M. McConnell United Kingdom
Avraham Ben‐Nun Israel
Carla Marie Cuda United States
Hans-Christian von Buedingen United States
Hiroh Saji Japan
Kun Jin relative to DeRen Huang United States DeRen Huang's profile →
Citations per field
00.5×1.5×2×2.3×
DeRen Huang · 1×
Citations per year

Countries citing papers authored by Kun Jin

Since Specialization
Citations

This map shows the geographic impact of Kun Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Jin more than expected).

Fields of papers citing papers by Kun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kun Jin. The network helps show where Kun Jin may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Jin Line = papers co-authored together Kun Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000612
2 2000360
3 2020109
4 2000107
5 201962
6 200160
7 201959
8 202147
9 202145
10 201543
11 202039
12 202138
13 202035
14
Blarcamesine for the treatment of Early Alzheimer's Disease: Results from the ANAVEX2-73-AD-004 Phase IIB/III trial
Hit paper breakdown →
202532
15 200028
16 202227
17 200126
18 201824
19 200323
20 202222

About Kun Jin

Kun Jin is a scholar working on Pulmonary and Respiratory Medicine, Hepatology, Health, Toxicology and Mutagenesis, Surgery and Periodontics, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (16 papers), Bladder and Urothelial Cancer Treatments (4 papers), Hepatitis C virus research (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Prostate Cancer Treatment and Research (3 papers), Renal cell carcinoma treatment (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Testicular diseases and treatments (2 papers). The work is most often cited by research in Neurology (296 citations), Developmental Neuroscience (48 citations), Ophthalmology (61 citations), Molecular Biology (318 citations) and Neurology (33 citations). Kun Jin has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include David A. Greenberg, Xiao Ou Mao, Shi Qiu, Steven H. Graham, Lu Yang, Qiang Wei, Patrick Michael Kochanek, Paula D. Nathaniel, Robert S. B. Clark and Minzhi Chen. Their work appears in journals such as Asian Journal of Andrology, Frontiers in Oncology, Scientific Reports, Clinical Genitourinary Cancer and Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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